{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:58:46Z","timestamp":1742954326151,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":24,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819601158"},{"type":"electronic","value":"9789819601165"}],"license":[{"start":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T00:00:00Z","timestamp":1731369600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T00:00:00Z","timestamp":1731369600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-0116-5_14","type":"book-chapter","created":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T18:29:29Z","timestamp":1731781769000},"page":"170-181","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Scene Text Recognition Based on Corner Point and Attention Mechanism"],"prefix":"10.1007","author":[{"given":"Hui","family":"Wang","sequence":"first","affiliation":[]},{"given":"Tao","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Xiaoke","family":"Geng","sequence":"additional","affiliation":[]},{"given":"Kai","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,12]]},"reference":[{"issue":"11","key":"14_CR1","doi-asserted-by":"publisher","first-page":"2298","DOI":"10.1109\/TPAMI.2016.2646371","volume":"39","author":"B Shi","year":"2016","unstructured":"Shi, B., Bai, X., Yao, C.: An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition. IEEE Trans. Pattern Anal. Mach. Intell. 39(11), 2298\u20132304 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"14_CR2","doi-asserted-by":"crossref","unstructured":"Du, Y., Chen, Z., Jia, C., et al.: SVTR: scene text recognition with a single visual model. In: International Joint Conference on Artificial Intelligence, pp. 884\u2013890 (2022)","DOI":"10.24963\/ijcai.2022\/124"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Lee, J., Park, S., Baek, J., et al.: On recognizing texts arbitrary shapes with 2D self attention. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 2326\u20132335 (2020)","DOI":"10.1109\/CVPRW50498.2020.00281"},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"Zhang, B., Xie, H., Wang, Y., et al.: Linguistic more: taking a further step toward efficient and accurate scene text recognition. In: International Joint Conference on Artificial Intelligence, pp. 1704\u20131712 (2023)","DOI":"10.24963\/ijcai.2023\/189"},{"key":"14_CR5","doi-asserted-by":"crossref","unstructured":"Fang, S., Xie, H., Wang, Y., et al.: Read like humans: autonomous, bidirectional and iterative language modeling for scene text recognition. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7094\u20137103 (2021)","DOI":"10.1109\/CVPR46437.2021.00702"},{"key":"14_CR6","unstructured":"Jaderberg, M., Simonyan, K., Zisserman, A., et al.: Spatial Transformer Networks. In: Neural Information Processing Systems (2015)"},{"issue":"6","key":"14_CR7","doi-asserted-by":"publisher","first-page":"567","DOI":"10.1109\/34.24792","volume":"11","author":"F Bookstein","year":"1989","unstructured":"Bookstein, F.: Principal warps: thin-plate splines and the decomposition of deformations. IEEE Trans. Pattern Anal. Mach. Intell. 11(6), 567\u2013585 (1989)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"9","key":"14_CR8","doi-asserted-by":"publisher","first-page":"2035","DOI":"10.1109\/TPAMI.2018.2848939","volume":"41","author":"B Shi","year":"2019","unstructured":"Shi, B., Yang, M., Wang, X., et al.: ASTER: an attentional scene text recognizer with flexible rectification. IEEE Trans. Pattern Anal. Mach. Intell. 41(9), 2035\u20132048 (2019)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Zhan, F., Lu, S.: ESIR: end-to-end scene text recognition via iterative image rectification. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2054\u20132063 (2019)","DOI":"10.1109\/CVPR.2019.00216"},{"key":"14_CR10","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.patcog.2019.01.020","volume":"90","author":"C Luo","year":"2019","unstructured":"Luo, C., Jin, L., Sun, Z.: MORAN: A Multi-Object Rectified Attention Network for scene text recognition. Pattern Recogn. 90, 109\u2013118 (2019)","journal-title":"Pattern Recogn."},{"key":"14_CR11","doi-asserted-by":"crossref","unstructured":"Zhang, C., Xu, Y., Cheng, Z., et al.: SPIN: structure-preserving inner offset network for scene text recognition. In: AAAI Conference on Artificial Intelligence, pp. 3305\u20133314 (2021)","DOI":"10.1609\/aaai.v35i4.16442"},{"key":"14_CR12","doi-asserted-by":"crossref","unstructured":"Hou, Q., Zhou, D., Feng, J.: Coordinate attention for efficient mobile network design. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13708\u201313717 (2021)","DOI":"10.1109\/CVPR46437.2021.01350"},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Zheng, T., Chen, Z., Bai, J., et al.: TPS++: attention-enhanced thin-plate spline for scene text recognition. In: International Joint Conference on Artificial Intelligence, pp. 1777\u20131985 (2023)","DOI":"10.24963\/ijcai.2023\/197"},{"key":"14_CR14","doi-asserted-by":"crossref","unstructured":"Xie, X, Fu, L., Zhang, Z., et al.: Toward understanding WordArt: corner-guided transformer for scene text recognition. In: European Conference on Computer Vision, pp. 303\u2013321 (2022)","DOI":"10.1007\/978-3-031-19815-1_18"},{"key":"14_CR15","unstructured":"Jaderberg, M., Simonyan, K., Vedaldi, A., et al.: Synthetic data and artificial neural networks for natural scene text recognition. arXiv Preprint (2014). arXiv:1406.2227"},{"key":"14_CR16","doi-asserted-by":"crossref","unstructured":"Gupta, A., Vedaldi, A., Zisserman, A.: Synthetic data for text localisation in natural images. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 2315\u20132324 (2016)","DOI":"10.1109\/CVPR.2016.254"},{"key":"14_CR17","doi-asserted-by":"crossref","unstructured":"Karatzas, D., Shafait, F., Uchida, S., et al.: ICDAR 2013 robust reading competition. In: International Conference on Document Analysis and Recognition, pp. 1484\u20131493 (2013)","DOI":"10.1109\/ICDAR.2013.221"},{"key":"14_CR18","unstructured":"Wang, K., Babenko, B., Belongie, S.: End-to-end scene text recognition. In: IEEE International Conference on Computer Vision, pp. 1457\u20131464 (2011)"},{"key":"14_CR19","doi-asserted-by":"crossref","unstructured":"Mishra, A., Alahari, K., Jawahar, C.: Scene text recognition using higher order language priors. British Machine Vision Conference, pp. 1\u201312 (2012)","DOI":"10.5244\/C.26.127"},{"key":"14_CR20","doi-asserted-by":"crossref","unstructured":"Karatzas, D., Gomezbigorda, L., Nicolaou, A., et al.: ICDAR 2015 competition on Robust Reading. In: International Conference on Document Analysis and Recognition, pp. 1156\u20131160 (2015)","DOI":"10.1109\/ICDAR.2015.7333942"},{"key":"14_CR21","doi-asserted-by":"crossref","unstructured":"Phan, T., Shivakumara, P., Tian, S., et al.: Recognizing text with perspective distortion in natural scenes. In: IEEE International Conference on Computer Vision, pp. 569\u2013576 (2013)","DOI":"10.1109\/ICCV.2013.76"},{"issue":"18","key":"14_CR22","doi-asserted-by":"publisher","first-page":"8027","DOI":"10.1016\/j.eswa.2014.07.008","volume":"41","author":"A Risnumawan","year":"2014","unstructured":"Risnumawan, A., Shivakumara, P., Chan, C., et al.: A robust arbitrary text detection system for natural scene images. Expert Syst. Appl. 41(18), 8027\u20138048 (2014)","journal-title":"Expert Syst. Appl."},{"key":"14_CR23","doi-asserted-by":"crossref","unstructured":"He, Y., Chen, C., Zhang, J., et al.: Visual semantics allow for textual reasoning better in scene text recognition. In: AAAI Conference on Artificial Intelligence, pp. 1210\u20131218 (2022)","DOI":"10.1609\/aaai.v36i1.19971"},{"key":"14_CR24","doi-asserted-by":"crossref","unstructured":"Zhong, D., Lyu, S., Shivakumara, P., et al.: SGBANet: semantic GAN and balanced attention network for arbitrarily oriented scene text recognition. In: European Conference on Computer Vision, pp. 464\u2013480 (2022)","DOI":"10.1007\/978-3-031-19815-1_27"}],"container-title":["Lecture Notes in Computer Science","PRICAI 2024: Trends in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0116-5_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T19:13:36Z","timestamp":1731784416000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0116-5_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,12]]},"ISBN":["9789819601158","9789819601165"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0116-5_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,12]]},"assertion":[{"value":"12 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific Rim International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kyoto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pricai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.pricai.org\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}